Exploiting Heterogeneity in Robust Federated Best-Arm Identification

Exploiting Heterogeneity in Robust Federated Best-Arm Identification

13 September 2021

George Pappas

Papers citing "Exploiting Heterogeneity in Robust Federated Best-Arm Identification"

11 / 11 papers shown

Title
Distributed Linear Bandits under Communication Constraints Sudeep Salgia Qing Zhao 24 7 0 04 Nov 2022
Federated Best Arm Identification with Heterogeneous Clients Zhirui Chen P. Karthik Vincent Y. F. Tan Yeow Meng Chee FedML 25 8 0 14 Oct 2022
Almost Cost-Free Communication in Federated Best Arm Identification Kota Srinivas Reddy P. Karthik Vincent Y. F. Tan FedML 26 11 0 19 Aug 2022
Parallel Best Arm Identification in Heterogeneous Environments Nikolai Karpov Qin Zhang 36 8 0 16 Jul 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 38 6 0 06 Jun 2022
Multi-Agent Multi-Armed Bandits with Limited Communication Mridul Agarwal Vaneet Aggarwal Kamyar Azizzadenesheli 31 32 0 10 Feb 2021
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 162 98 0 28 Dec 2020
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 134 83 0 24 Oct 2020
Bayesian Algorithms for Decentralized Stochastic Bandits Anusha Lalitha Andrea J. Goldsmith 22 15 0 20 Oct 2020
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits Peter Landgren Vaibhav Srivastava Naomi Ehrich Leonard 69 68 0 03 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 760 0 28 Sep 2019